Loading report..

Highlight Samples

Regex mode off

    Rename Samples

    Click here for bulk input.

    Paste two columns of a tab-delimited table here (eg. from Excel).

    First column should be the old name, second column the new name.

    Regex mode off

      Show / Hide Samples

      Regex mode off

        Export Plots

        px
        px
        X

        Download the raw data used to create the plots in this report below:

        Note that additional data was saved in multiqc_data when this report was generated.

        Choose Plots

        If you use plots from MultiQC in a publication or presentation, please cite:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        Save Settings

        You can save the toolbox settings for this report to the browser.

        Load Settings

        Choose a saved report profile from the dropdown box below:

        Tool Citations

        Please remember to cite the tools that you use in your analysis.

        To help with this, you can download publication details of the tools mentioned in this report:

        About MultiQC

        This report was generated using MultiQC, version 1.18

        You can see a YouTube video describing how to use MultiQC reports here: https://youtu.be/qPbIlO_KWN0

        For more information about MultiQC, including other videos and extensive documentation, please visit http://multiqc.info

        You can report bugs, suggest improvements and find the source code for MultiQC on GitHub: https://github.com/ewels/MultiQC

        MultiQC is published in Bioinformatics:

        MultiQC: Summarize analysis results for multiple tools and samples in a single report
        Philip Ewels, Måns Magnusson, Sverker Lundin and Max Käller
        Bioinformatics (2016)
        doi: 10.1093/bioinformatics/btw354
        PMID: 27312411

        A modular tool to aggregate results from bioinformatics analyses across many samples into a single report.

        Report generated on 2025-02-04, 14:48 WET based on data in:

        General Statistics

        Showing 426/426 rows and 3/6 columns.
        Sample Name% Dups% GCM Seqs
        AND_ALCA_001_poll002_R1_1st
        93.3%
        46%
        5.4
        AND_ALCA_001_poll002_R2_1st
        19.7%
        45%
        5.4
        AND_ALCA_003_poll002_R1_1st
        81.4%
        46%
        4.0
        AND_ALCA_003_poll002_R2_1st
        27.2%
        46%
        4.0
        AND_ALCA_004_poll002_R1_merged
        76.3%
        46%
        7.3
        AND_ALCA_004_poll002_R2_merged
        68.5%
        46%
        7.3
        AND_ALCA_004_poll003_R1_1st
        49.2%
        47%
        8.2
        AND_ALCA_004_poll003_R2_1st
        41.9%
        47%
        8.2
        AND_ALCA_011_poll001_R1_1st
        80.3%
        46%
        15.8
        AND_ALCA_011_poll001_R2_1st
        35.9%
        46%
        15.8
        AND_ARRA_001_poll027_R1_1st
        91.4%
        46%
        4.3
        AND_ARRA_001_poll027_R2_1st
        20.2%
        46%
        4.3
        AND_ARRA_002_poll028_R1_1st
        81.2%
        47%
        2.8
        AND_ARRA_002_poll028_R2_1st
        25.7%
        46%
        2.8
        AND_ARRA_003_poll028_R1_merged
        74.7%
        46%
        4.7
        AND_ARRA_003_poll028_R2_merged
        71.8%
        46%
        4.7
        AND_ARRA_005_poll027_R1_merged
        87.9%
        47%
        4.3
        AND_ARRA_005_poll027_R2_merged
        61.3%
        47%
        4.3
        AND_ARRA_006_poll027_R1_1st
        80.6%
        46%
        1.4
        AND_ARRA_006_poll027_R2_1st
        29.3%
        45%
        1.4
        AND_BORA_003_poll008_R1_1st
        85.4%
        48%
        2.8
        AND_BORA_003_poll008_R2_1st
        52.1%
        49%
        2.8
        AND_BORA_004_poll007_R1_1st
        84.3%
        47%
        2.7
        AND_BORA_004_poll007_R2_1st
        43.5%
        47%
        2.7
        AND_BORA_005_poll007_R1_1st
        76.5%
        47%
        3.1
        AND_BORA_005_poll007_R2_1st
        28.6%
        47%
        3.1
        AND_BORA_007_poll007_R1_1st
        64.0%
        46%
        2.8
        AND_BORA_007_poll007_R2_1st
        60.0%
        46%
        2.8
        AND_BORA_009_poll007_R1_1st
        91.4%
        47%
        6.5
        AND_BORA_009_poll007_R2_1st
        32.0%
        48%
        6.5
        AND_BORA_011_poll007_R1_merged
        86.5%
        47%
        5.0
        AND_BORA_011_poll007_R2_merged
        71.8%
        46%
        5.0
        AND_CRAA_002_poll068_R1_merged
        92.1%
        47%
        5.9
        AND_CRAA_002_poll068_R2_merged
        63.3%
        47%
        5.9
        AND_CRAA_005_poll070_R1_1st
        74.7%
        47%
        4.2
        AND_CRAA_005_poll070_R2_1st
        32.8%
        47%
        4.2
        AND_CRAA_007_poll068_R1_1st
        78.7%
        46%
        2.7
        AND_CRAA_007_poll068_R2_1st
        46.8%
        46%
        2.7
        AND_CRAA_008_poll070_R1_1st
        75.2%
        47%
        4.8
        AND_CRAA_008_poll070_R2_1st
        41.5%
        47%
        4.8
        AND_CRAA_010_poll068_R1_1st
        78.0%
        46%
        5.3
        AND_CRAA_010_poll068_R2_1st
        26.6%
        47%
        5.3
        AND_CRAA_012_poll070_R1_merged
        90.6%
        47%
        3.9
        AND_CRAA_012_poll070_R2_merged
        60.7%
        47%
        3.9
        AND_FVFN_006_poll015_R1_1st
        58.9%
        47%
        3.2
        AND_FVFN_006_poll015_R2_1st
        54.1%
        47%
        3.2
        AND_FVFN_007_poll015_R1_1st
        79.3%
        47%
        2.8
        AND_FVFN_007_poll015_R2_1st
        50.8%
        47%
        2.8
        AND_FVFN_008_poll015_R1_1st
        79.4%
        47%
        4.3
        AND_FVFN_008_poll015_R2_1st
        38.5%
        47%
        4.3
        AND_FVFN_008_poll016_R1_1st
        83.6%
        47%
        5.0
        AND_FVFN_008_poll016_R2_1st
        28.7%
        47%
        5.0
        AND_FVFN_009_poll015_R1_merged
        89.8%
        47%
        3.9
        AND_FVFN_009_poll015_R2_merged
        58.4%
        46%
        3.9
        AND_FVFN_010_poll015_R1_1st
        78.0%
        46%
        3.4
        AND_FVFN_010_poll015_R2_1st
        56.1%
        46%
        3.4
        AND_FZZN_001_poll085_R1_1st
        29.8%
        47%
        4.1
        AND_FZZN_001_poll085_R2_1st
        25.8%
        47%
        4.1
        AND_FZZN_004_poll086_R1_1st
        84.7%
        47%
        3.5
        AND_FZZN_004_poll086_R2_1st
        24.7%
        47%
        3.5
        AND_FZZN_006_poll085_R1_1st
        77.7%
        47%
        4.4
        AND_FZZN_006_poll085_R2_1st
        20.9%
        47%
        4.4
        AND_FZZN_008_poll086_R1_1st
        79.1%
        47%
        3.9
        AND_FZZN_008_poll086_R2_1st
        35.1%
        47%
        3.9
        AND_FZZN_009_poll085_R1_1st
        77.2%
        46%
        2.8
        AND_FZZN_009_poll085_R2_1st
        30.5%
        46%
        2.8
        AND_FZZN_018_poll084_R1_1st
        64.6%
        48%
        3.9
        AND_FZZN_018_poll084_R2_1st
        19.8%
        48%
        3.9
        AND_MALN_001_poll060_R1_1st
        92.2%
        47%
        14.3
        AND_MALN_001_poll060_R2_1st
        32.0%
        48%
        14.3
        AND_MALN_002_poll060_R1_1st
        82.9%
        47%
        3.8
        AND_MALN_002_poll060_R2_1st
        25.9%
        47%
        3.8
        AND_MALN_003_poll060_R1_1st
        74.6%
        46%
        3.4
        AND_MALN_003_poll060_R2_1st
        30.3%
        47%
        3.4
        AND_MALN_004_poll060_R1_1st
        82.1%
        47%
        4.2
        AND_MALN_004_poll060_R2_1st
        31.3%
        47%
        4.2
        AND_MALN_010_poll060_R1_1st
        63.7%
        46%
        3.4
        AND_MALN_010_poll060_R2_1st
        56.6%
        46%
        3.4
        AND_MALN_012_poll060_R1_1st
        59.3%
        46%
        4.5
        AND_MALN_012_poll060_R2_1st
        46.4%
        46%
        4.5
        AND_MALN_013_poll060_R1_merged
        87.5%
        46%
        5.0
        AND_MALN_013_poll060_R2_merged
        69.7%
        46%
        5.0
        AND_MGRN_005_poll100_R1_1st
        87.7%
        48%
        5.0
        AND_MGRN_005_poll100_R2_1st
        24.8%
        49%
        5.0
        AND_MGRN_006_poll096_R1_1st
        85.9%
        47%
        5.5
        AND_MGRN_006_poll096_R2_1st
        23.4%
        46%
        5.5
        AND_MGRN_006_poll100_R1_merged
        90.6%
        47%
        4.0
        AND_MGRN_006_poll100_R2_merged
        48.2%
        47%
        4.0
        AND_MGRN_007_poll100_R1_1st
        84.1%
        46%
        6.0
        AND_MGRN_007_poll100_R2_1st
        34.0%
        47%
        6.0
        AND_MGRN_020_poll100_R1_1st
        60.5%
        47%
        5.1
        AND_MGRN_020_poll100_R2_1st
        21.6%
        47%
        5.1
        AND_MGRN_024_poll099_R1_merged
        86.3%
        46%
        5.4
        AND_MGRN_024_poll099_R2_merged
        68.2%
        46%
        5.4
        AND_NAZN_004_poll023_R1_1st
        76.7%
        47%
        3.3
        AND_NAZN_004_poll023_R2_1st
        41.3%
        47%
        3.3
        AND_NAZN_005_poll023_R1_1st
        78.9%
        47%
        5.2
        AND_NAZN_005_poll023_R2_1st
        31.9%
        47%
        5.2
        AND_NAZN_005_poll024_R1_1st
        87.7%
        47%
        3.0
        AND_NAZN_005_poll024_R2_1st
        59.3%
        47%
        3.0
        AND_NAZN_006_poll024_R1_1st
        91.7%
        47%
        5.8
        AND_NAZN_006_poll024_R2_1st
        28.2%
        46%
        5.8
        AND_NAZN_007_poll024_R1_1st
        92.6%
        46%
        3.9
        AND_NAZN_007_poll024_R2_1st
        18.6%
        45%
        3.9
        AND_NAZN_007_poll065_R1_1st
        42.7%
        47%
        3.9
        AND_NAZN_007_poll065_R2_1st
        39.0%
        47%
        3.9
        AND_ODEN_001_poll020_R1_1st
        74.4%
        46%
        2.7
        AND_ODEN_001_poll020_R2_1st
        47.6%
        46%
        2.7
        AND_ODEN_002_poll020_R1_1st
        79.5%
        47%
        2.9
        AND_ODEN_002_poll020_R2_1st
        38.6%
        47%
        2.9
        AND_ODEN_006_poll018_R1_1st
        88.4%
        46%
        5.7
        AND_ODEN_006_poll018_R2_1st
        28.7%
        47%
        5.7
        AND_ODEN_007_poll018_R1_1st
        75.4%
        47%
        2.8
        AND_ODEN_007_poll018_R2_1st
        44.9%
        47%
        2.8
        AND_ODEN_009_poll019_R1_1st
        61.5%
        47%
        3.1
        AND_ODEN_009_poll019_R2_1st
        21.5%
        46%
        3.1
        AND_ODEN_011_poll019_R1_1st
        45.4%
        46%
        3.2
        AND_ODEN_011_poll019_R2_1st
        41.0%
        46%
        3.2
        AND_SINN_001_poll029_R1_1st
        78.2%
        47%
        2.8
        AND_SINN_001_poll029_R2_1st
        55.6%
        47%
        2.8
        AND_SINN_002_poll029_R1_1st
        67.3%
        47%
        4.7
        AND_SINN_002_poll029_R2_1st
        24.8%
        47%
        4.7
        AND_SINN_003_poll029_R1_1st
        55.3%
        47%
        3.1
        AND_SINN_003_poll029_R2_1st
        49.1%
        47%
        3.1
        AND_SINN_003_poll105_R1_1st
        43.3%
        47%
        4.6
        AND_SINN_003_poll105_R2_1st
        40.1%
        47%
        4.6
        AND_SINN_006_poll102_R1_1st
        59.3%
        46%
        3.2
        AND_SINN_006_poll102_R2_1st
        37.8%
        47%
        3.2
        AND_SINN_008_poll030_R1_1st
        79.5%
        47%
        5.2
        AND_SINN_008_poll030_R2_1st
        34.9%
        47%
        5.2
        AND_SINN_009_poll030_R1_1st
        78.3%
        47%
        2.9
        AND_SINN_009_poll030_R2_1st
        35.4%
        47%
        2.9
        AND_SINN_009_poll092_R1_1st
        93.1%
        46%
        4.9
        AND_SINN_009_poll092_R2_1st
        19.6%
        45%
        4.9
        AND_SINN_010_poll102_R1_1st
        80.0%
        47%
        3.9
        AND_SINN_010_poll102_R2_1st
        26.9%
        47%
        3.9
        AND_SINN_012_poll091_R1_1st
        64.2%
        47%
        4.9
        AND_SINN_012_poll091_R2_1st
        28.5%
        47%
        4.9
        AND_SINN_018_poll102_R1_1st
        76.9%
        46%
        5.4
        AND_SINN_018_poll102_R2_1st
        27.6%
        46%
        5.4
        AND_SINN_020_poll102_R1_1st
        82.8%
        47%
        2.8
        AND_SINN_020_poll102_R2_1st
        48.3%
        47%
        2.8
        AND_SMAN_010_poll055_R1_1st
        82.9%
        47%
        3.9
        AND_SMAN_010_poll055_R2_1st
        28.2%
        47%
        3.9
        AND_SMAN_019_poll136_R1_1st
        74.7%
        47%
        2.8
        AND_SMAN_019_poll136_R2_1st
        40.9%
        47%
        2.8
        AND_SMAN_028_poll055_R1_1st
        77.6%
        48%
        2.8
        AND_SMAN_028_poll055_R2_1st
        42.6%
        48%
        2.8
        AND_SMAN_030_poll055_R1_merged
        92.9%
        47%
        8.2
        AND_SMAN_030_poll055_R2_merged
        63.8%
        47%
        8.2
        AND_SMAN_038_poll055_R1_1st
        69.9%
        47%
        3.7
        AND_SMAN_038_poll055_R2_1st
        40.6%
        47%
        3.7
        AND_SMAN_050_poll055_R1_1st
        71.6%
        47%
        3.5
        AND_SMAN_050_poll055_R2_1st
        41.6%
        47%
        3.5
        AND_TURA_001_poll089_R1_merged
        89.3%
        47%
        6.1
        AND_TURA_001_poll089_R2_merged
        60.4%
        46%
        6.1
        AND_TURA_007_poll071_R1_1st
        87.7%
        47%
        4.1
        AND_TURA_007_poll071_R2_1st
        25.8%
        47%
        4.1
        AND_TURA_007_poll089_R1_1st
        71.8%
        48%
        3.4
        AND_TURA_007_poll089_R2_1st
        36.7%
        48%
        3.4
        AND_TURA_009_poll075_R1_merged
        89.8%
        47%
        5.3
        AND_TURA_009_poll075_R2_merged
        66.1%
        47%
        5.3
        AND_TURA_024_poll075_R1_merged
        92.4%
        47%
        5.4
        AND_TURA_024_poll075_R2_merged
        61.4%
        46%
        5.4
        AND_TURA_025_poll075_R1_1st
        92.3%
        46%
        4.8
        AND_TURA_025_poll075_R2_1st
        25.1%
        46%
        4.8
        BOM_ALCA_001_poll001_R1_1st
        86.8%
        43%
        1.3
        BOM_ALCA_001_poll001_R2_1st
        30.8%
        42%
        1.3
        BOM_ALCA_001_poll002_R1_merged
        86.2%
        43%
        7.9
        BOM_ALCA_001_poll002_R2_merged
        66.3%
        43%
        7.9
        BOM_ALCA_002_poll001_R1_merged
        86.8%
        46%
        2.1
        BOM_ALCA_002_poll001_R2_merged
        72.1%
        47%
        2.1
        BOM_ARRA_001_poll026_R1_1st
        89.2%
        49%
        2.8
        BOM_ARRA_001_poll026_R2_1st
        49.9%
        51%
        2.8
        BOM_ARRA_002_poll026_R1_1st
        90.0%
        44%
        6.8
        BOM_ARRA_002_poll026_R2_1st
        61.5%
        44%
        6.8
        BOM_ARRA_008_poll076_R1_1st
        95.4%
        42%
        8.0
        BOM_ARRA_008_poll076_R2_1st
        28.3%
        40%
        8.0
        BOM_ASSA_004_poll032_R1_1st
        70.6%
        44%
        2.9
        BOM_ASSA_004_poll032_R2_1st
        47.5%
        45%
        2.9
        BOM_BORA_001_poll009_R1_1st
        60.5%
        43%
        2.8
        BOM_BORA_001_poll009_R2_1st
        56.5%
        44%
        2.8
        BOM_BORA_003_poll009_R1_1st
        84.1%
        43%
        2.8
        BOM_BORA_003_poll009_R2_1st
        39.3%
        43%
        2.8
        BOM_BORA_009_poll008_R1_1st
        89.4%
        43%
        3.1
        BOM_BORA_009_poll008_R2_1st
        35.4%
        42%
        3.1
        BOM_CRAA_002_poll066_R1_1st
        91.7%
        43%
        5.5
        BOM_CRAA_002_poll066_R2_1st
        34.0%
        43%
        5.5
        BOM_CRAA_007_poll066_R1_1st
        94.0%
        42%
        7.6
        BOM_CRAA_007_poll066_R2_1st
        28.3%
        40%
        7.6
        BOM_CRAA_008_poll066_R1_1st
        90.5%
        44%
        2.8
        BOM_CRAA_008_poll066_R2_1st
        44.8%
        44%
        2.8
        BOM_CRAA_011_poll066_R1_1st
        90.8%
        44%
        3.1
        BOM_CRAA_011_poll066_R2_1st
        62.4%
        43%
        3.1
        BOM_CRAA_022_poll066_R1_1st
        91.8%
        43%
        4.2
        BOM_CRAA_022_poll066_R2_1st
        34.6%
        42%
        4.2
        BOM_CRUN_004_poll013_R1_1st
        82.7%
        43%
        2.7
        BOM_CRUN_004_poll013_R2_1st
        41.4%
        44%
        2.7
        BOM_FVFN_001_poll015_R1_merged
        86.2%
        43%
        6.5
        BOM_FVFN_001_poll015_R2_merged
        68.6%
        42%
        6.5
        BOM_FVFN_004_poll016_R1_1st
        78.1%
        43%
        2.8
        BOM_FVFN_004_poll016_R2_1st
        36.5%
        43%
        2.8
        BOM_FVFN_005_poll015_R1_1st
        82.0%
        43%
        2.8
        BOM_FVFN_005_poll015_R2_1st
        43.4%
        43%
        2.8
        BOM_FVFN_006_poll015_R1_1st
        89.8%
        43%
        3.2
        BOM_FVFN_006_poll015_R2_1st
        34.0%
        42%
        3.2
        BOM_MALN_004_poll059_R1_1st
        91.7%
        44%
        2.7
        BOM_MALN_004_poll059_R2_1st
        41.0%
        43%
        2.7
        BOM_MALN_007_poll058_R1_1st
        89.6%
        44%
        2.8
        BOM_MALN_007_poll058_R2_1st
        61.3%
        44%
        2.8
        BOM_MALN_012_poll058_R1_1st
        84.4%
        44%
        1.6
        BOM_MALN_012_poll058_R2_1st
        57.8%
        44%
        1.6
        BOM_MGRN_001_poll080_R1_1st
        61.0%
        44%
        5.2
        BOM_MGRN_001_poll080_R2_1st
        50.6%
        44%
        5.2
        BOM_MGRN_001_poll096_R1_1st
        67.1%
        44%
        2.7
        BOM_MGRN_001_poll096_R2_1st
        61.9%
        44%
        2.7
        BOM_MGRN_002_poll101_R1_1st
        92.8%
        44%
        5.2
        BOM_MGRN_002_poll101_R2_1st
        35.9%
        42%
        5.2
        BOM_MGRN_003_poll079_R1_1st
        84.7%
        50%
        1.4
        BOM_MGRN_003_poll079_R2_1st
        41.1%
        54%
        1.4
        BOM_MGRN_004_poll079_R1_merged
        85.0%
        44%
        2.7
        BOM_MGRN_004_poll079_R2_merged
        66.9%
        44%
        2.7
        BOM_MGRN_005_poll099_R1_merged
        91.5%
        44%
        4.4
        BOM_MGRN_005_poll099_R2_merged
        71.3%
        44%
        4.4
        BOM_MGRN_011_poll101_R1_merged
        82.0%
        44%
        5.3
        BOM_MGRN_011_poll101_R2_merged
        70.9%
        43%
        5.3
        BOM_MOL_003_poll500_R1_1st
        83.1%
        43%
        4.0
        BOM_MOL_003_poll500_R2_1st
        33.4%
        43%
        4.0
        BOM_MOL_006_poll501_R1_1st
        59.5%
        45%
        4.7
        BOM_MOL_006_poll501_R2_1st
        46.5%
        45%
        4.7
        BOM_MOL_009_poll502_R1_1st
        71.8%
        43%
        4.2
        BOM_MOL_009_poll502_R2_1st
        26.1%
        42%
        4.2
        BOM_NAZN_001_poll022_R1_1st
        53.4%
        43%
        2.8
        BOM_NAZN_001_poll022_R2_1st
        39.2%
        43%
        2.8
        BOM_NAZN_002_poll022_R1_1st
        83.3%
        45%
        2.7
        BOM_NAZN_002_poll022_R2_1st
        42.2%
        45%
        2.7
        BOM_NAZN_003_poll021_R1_merged
        89.5%
        44%
        5.4
        BOM_NAZN_003_poll021_R2_merged
        70.2%
        43%
        5.4
        BOM_NAZN_003_poll022_R1_merged
        90.2%
        45%
        3.5
        BOM_NAZN_003_poll022_R2_merged
        71.5%
        45%
        3.5
        BOM_NAZN_003_poll024_R1_merged
        89.0%
        44%
        5.1
        BOM_NAZN_003_poll024_R2_merged
        70.6%
        43%
        5.1
        BOM_ODEN_004_poll020_R1_1st
        29.8%
        44%
        2.8
        BOM_ODEN_004_poll020_R2_1st
        25.3%
        45%
        2.8
        BOM_ODEN_009_poll018_R1_1st
        91.1%
        44%
        2.8
        BOM_ODEN_009_poll018_R2_1st
        46.6%
        43%
        2.8
        BOM_ODEN_010_poll017_R1_1st
        83.8%
        45%
        2.8
        BOM_ODEN_010_poll017_R2_1st
        48.8%
        46%
        2.8
        BOM_ODEN_011_poll017_R1_1st
        76.2%
        44%
        2.8
        BOM_ODEN_011_poll017_R2_1st
        33.9%
        43%
        2.8
        BOM_SAH_001_poll503_R1_1st
        92.7%
        45%
        16.4
        BOM_SAH_001_poll503_R2_1st
        52.9%
        47%
        16.4
        BOM_SAH_002_poll504_R1_1st
        79.8%
        43%
        4.0
        BOM_SAH_002_poll504_R2_1st
        33.5%
        43%
        4.0
        BOM_SAL_001_poll505_R1_1st
        91.1%
        44%
        3.9
        BOM_SAL_001_poll505_R2_1st
        28.5%
        43%
        3.9
        BOM_SAL_007_poll506_R1_1st
        85.9%
        42%
        2.7
        BOM_SAL_007_poll506_R2_1st
        38.4%
        42%
        2.7
        BOM_SAL_008_poll506_R1_1st
        59.3%
        43%
        6.7
        BOM_SAL_008_poll506_R2_1st
        48.3%
        42%
        6.7
        BOM_SAL_009_poll506_R1_1st
        61.2%
        43%
        2.8
        BOM_SAL_009_poll506_R2_1st
        56.1%
        43%
        2.8
        BOM_SDAN_004_poll004_R1_1st
        83.3%
        43%
        6.2
        BOM_SDAN_004_poll004_R2_1st
        33.5%
        43%
        6.2
        BOM_SDAN_005_poll004_R1_1st
        61.8%
        44%
        3.0
        BOM_SDAN_005_poll004_R2_1st
        40.9%
        44%
        3.0
        BOM_SDAN_006_poll004_R1_1st
        92.1%
        43%
        14.1
        BOM_SDAN_006_poll004_R2_1st
        33.7%
        44%
        14.1
        BOM_SINN_001_poll105_R1_1st
        93.1%
        43%
        6.4
        BOM_SINN_001_poll105_R2_1st
        37.5%
        42%
        6.4
        BOM_SINN_015_poll030_R1_1st
        64.4%
        44%
        2.8
        BOM_SINN_015_poll030_R2_1st
        59.8%
        44%
        2.8
        BOM_SMAN_002_poll052_R1_1st
        52.7%
        44%
        2.8
        BOM_SMAN_002_poll052_R2_1st
        47.8%
        45%
        2.8
        BOM_SMAN_004_poll052_R1_1st
        89.9%
        43%
        2.8
        BOM_SMAN_004_poll052_R2_1st
        65.3%
        43%
        2.8
        BOM_SMAN_006_poll052_R1_1st
        90.3%
        44%
        2.8
        BOM_SMAN_006_poll052_R2_1st
        70.0%
        44%
        2.8
        BOM_SMH_001_poll507_R1_1st
        58.8%
        44%
        4.5
        BOM_SMH_001_poll507_R2_1st
        45.3%
        44%
        4.5
        BOM_SMH_002_poll507_R1_1st
        92.8%
        42%
        4.1
        BOM_SMH_002_poll507_R2_1st
        29.3%
        42%
        4.1
        BTL_005_2elu_poll509_R1_1st
        89.2%
        46%
        2.7
        BTL_005_2elu_poll509_R2_1st
        37.1%
        44%
        2.7
        BTL_009_2elu_poll510_R1_1st
        87.9%
        46%
        2.7
        BTL_009_2elu_poll510_R2_1st
        53.9%
        46%
        2.7
        BTL_012_2elu_poll510_R1_1st
        81.8%
        44%
        3.9
        BTL_012_2elu_poll510_R2_1st
        33.0%
        44%
        3.9
        BTL_236_1elu_poll511_R1_1st
        45.6%
        44%
        2.8
        BTL_236_1elu_poll511_R2_1st
        40.0%
        45%
        2.8
        BTL_237_1elu_poll511_R1_1st
        77.8%
        43%
        4.7
        BTL_237_1elu_poll511_R2_1st
        36.7%
        42%
        4.7
        BTL_248_1elu_poll512_R1_1st
        84.3%
        53%
        1.0
        BTL_248_1elu_poll512_R2_1st
        46.6%
        57%
        1.0
        BTL_254_1elu_poll513_R1_1st
        59.0%
        43%
        6.1
        BTL_254_1elu_poll513_R2_1st
        48.1%
        43%
        6.1
        LGL_ALCA_004_poll094_R1_merged
        79.2%
        46%
        4.8
        LGL_ALCA_004_poll094_R2_merged
        76.5%
        46%
        4.8
        LGL_ALCA_004_poll095_R1_1st
        89.0%
        46%
        5.2
        LGL_ALCA_004_poll095_R2_1st
        26.1%
        45%
        5.2
        LGL_ALCA_005_poll002_R1_1st
        73.1%
        45%
        2.8
        LGL_ALCA_005_poll002_R2_1st
        33.0%
        45%
        2.8
        LGL_ALCA_005_poll094_R1_1st
        66.3%
        44%
        7.8
        LGL_ALCA_005_poll094_R2_1st
        26.3%
        45%
        7.8
        LGL_ALCA_006_poll002_R1_merged
        91.3%
        44%
        5.3
        LGL_ALCA_006_poll002_R2_merged
        59.8%
        44%
        5.3
        LGL_ALCA_006_poll003_R1_1st
        90.8%
        43%
        2.8
        LGL_ALCA_006_poll003_R2_1st
        29.7%
        43%
        2.8
        LGL_ALCA_008_poll002_R1_1st
        86.1%
        44%
        4.0
        LGL_ALCA_008_poll002_R2_1st
        26.7%
        44%
        4.0
        LGL_ARRA_001_poll025_R1_merged
        88.6%
        44%
        5.2
        LGL_ARRA_001_poll025_R2_merged
        66.1%
        44%
        5.2
        LGL_ARRA_007_poll077_R1_1st
        67.3%
        45%
        3.8
        LGL_ARRA_007_poll077_R2_1st
        23.6%
        45%
        3.8
        LGL_ARRA_008_poll027_R1_1st
        84.7%
        50%
        2.8
        LGL_ARRA_008_poll027_R2_1st
        46.1%
        54%
        2.8
        LGL_ARRA_009_poll027_R1_1st
        73.2%
        46%
        3.3
        LGL_ARRA_009_poll027_R2_1st
        40.4%
        47%
        3.3
        LGL_ARRA_010_poll077_R1_1st
        79.7%
        45%
        2.7
        LGL_ARRA_010_poll077_R2_1st
        45.7%
        45%
        2.7
        LGL_BORA_001_poll008_R1_1st
        85.5%
        45%
        2.7
        LGL_BORA_001_poll008_R2_1st
        43.7%
        45%
        2.7
        LGL_BORA_003_poll008_R1_1st
        87.2%
        46%
        2.8
        LGL_BORA_003_poll008_R2_1st
        38.6%
        49%
        2.8
        LGL_BORA_005_poll008_R1_1st
        71.4%
        45%
        2.8
        LGL_BORA_005_poll008_R2_1st
        55.1%
        45%
        2.8
        LGL_BORA_007_poll008_R1_merged
        85.7%
        46%
        3.8
        LGL_BORA_007_poll008_R2_merged
        67.9%
        45%
        3.8
        LGL_BORA_008_poll008_R1_1st
        55.4%
        45%
        2.8
        LGL_BORA_008_poll008_R2_1st
        39.4%
        46%
        2.8
        LGL_BORA_013_poll008_R1_1st
        60.2%
        45%
        2.7
        LGL_BORA_013_poll008_R2_1st
        28.6%
        46%
        2.7
        LGL_CRAA_001_poll070_R1_1st
        55.1%
        45%
        3.9
        LGL_CRAA_001_poll070_R2_1st
        46.8%
        45%
        3.9
        LGL_CRAA_002_poll070_R1_1st
        87.8%
        44%
        4.0
        LGL_CRAA_002_poll070_R2_1st
        31.6%
        45%
        4.0
        LGL_CRAA_006_poll070_R1_1st
        59.5%
        45%
        3.9
        LGL_CRAA_006_poll070_R2_1st
        40.3%
        45%
        3.9
        LGL_CRAA_007_poll070_R1_1st
        63.6%
        45%
        2.7
        LGL_CRAA_007_poll070_R2_1st
        51.8%
        45%
        2.7
        LGL_CRAA_009_poll070_R1_1st
        51.7%
        44%
        4.5
        LGL_CRAA_009_poll070_R2_1st
        45.3%
        44%
        4.5
        LGL_FVFN_010_poll016_R1_1st
        93.1%
        46%
        36.9
        LGL_FVFN_010_poll016_R2_1st
        47.4%
        47%
        36.9
        LGL_FVFN_011_poll015_R1_1st
        92.3%
        45%
        19.2
        LGL_FVFN_011_poll015_R2_1st
        43.2%
        46%
        19.2
        LGL_FVFN_012_poll015_R1_1st
        73.5%
        45%
        3.2
        LGL_FVFN_012_poll015_R2_1st
        41.9%
        46%
        3.2
        LGL_FVFN_013_poll015_R1_1st
        63.2%
        45%
        4.3
        LGL_FVFN_013_poll015_R2_1st
        36.7%
        45%
        4.3
        LGL_FVFN_014_poll015_R1_1st
        84.9%
        44%
        2.8
        LGL_FVFN_014_poll015_R2_1st
        39.6%
        45%
        2.8
        LGL_FZZN_003_poll086_R1_1st
        69.1%
        46%
        5.9
        LGL_FZZN_003_poll086_R2_1st
        35.7%
        45%
        5.9
        LGL_FZZN_004_poll082_R1_1st
        75.7%
        44%
        7.1
        LGL_FZZN_004_poll082_R2_1st
        24.6%
        44%
        7.1
        LGL_FZZN_004_poll084_R1_merged
        86.5%
        45%
        4.7
        LGL_FZZN_004_poll084_R2_merged
        65.1%
        45%
        4.7
        LGL_FZZN_005_poll086_R1_1st
        46.4%
        45%
        6.2
        LGL_FZZN_005_poll086_R2_1st
        42.0%
        45%
        6.2
        LGL_FZZN_006_poll083_R1_merged
        88.4%
        45%
        5.1
        LGL_FZZN_006_poll083_R2_merged
        61.8%
        45%
        5.1
        LGL_FZZN_012_poll082_R1_1st
        77.4%
        49%
        1.1
        LGL_FZZN_012_poll082_R2_1st
        32.1%
        52%
        1.1
        LGL_MGRN_012_poll099_R1_1st
        74.0%
        45%
        3.5
        LGL_MGRN_012_poll099_R2_1st
        39.5%
        45%
        3.5
        LGL_MGRN_015_poll099_R1_1st
        38.9%
        45%
        2.8
        LGL_MGRN_015_poll099_R2_1st
        33.0%
        46%
        2.8
        LGL_MGRN_025_poll099_R1_1st
        81.6%
        46%
        2.8
        LGL_MGRN_025_poll099_R2_1st
        31.8%
        46%
        2.8
        LGL_NAZN_001_poll023_R1_1st
        84.8%
        45%
        5.9
        LGL_NAZN_001_poll023_R2_1st
        32.4%
        45%
        5.9
        LGL_NAZN_002_poll023_R1_merged
        90.8%
        44%
        4.3
        LGL_NAZN_002_poll023_R2_merged
        64.7%
        45%
        4.3
        LGL_NAZN_003_poll023_R1_merged
        77.7%
        44%
        7.2
        LGL_NAZN_003_poll023_R2_merged
        74.1%
        44%
        7.2
        LGL_ODEN_007_poll020_R1_merged
        89.7%
        44%
        6.6
        LGL_ODEN_007_poll020_R2_merged
        62.8%
        44%
        6.6
        LGL_ODEN_008_poll017_R1_1st
        66.4%
        44%
        4.5
        LGL_ODEN_008_poll017_R2_1st
        45.6%
        44%
        4.5
        LGL_ODEN_008_poll019_R1_1st
        90.0%
        43%
        2.7
        LGL_ODEN_008_poll019_R2_1st
        52.6%
        43%
        2.7
        LGL_ODEN_008_poll020_R1_1st
        73.3%
        45%
        2.8
        LGL_ODEN_008_poll020_R2_1st
        33.2%
        45%
        2.8
        LGL_ODEN_009_poll017_R1_1st
        51.5%
        45%
        3.6
        LGL_ODEN_009_poll017_R2_1st
        46.7%
        45%
        3.6
        LGL_ODEN_009_poll020_R1_1st
        76.7%
        44%
        4.5
        LGL_ODEN_009_poll020_R2_1st
        28.5%
        45%
        4.5
        LGL_ODEN_010_poll020_R1_1st
        76.8%
        44%
        6.3
        LGL_ODEN_010_poll020_R2_1st
        29.9%
        45%
        6.3
        LGL_SINN_001_poll032_R1_1st
        70.2%
        44%
        7.6
        LGL_SINN_001_poll032_R2_1st
        42.9%
        44%
        7.6
        LGL_SINN_002_poll031_R1_1st
        51.1%
        45%
        2.7
        LGL_SINN_002_poll031_R2_1st
        45.0%
        45%
        2.7
        LGL_SINN_002_poll104_R1_1st
        93.2%
        43%
        3.8
        LGL_SINN_002_poll104_R2_1st
        23.3%
        42%
        3.8
        LGL_SINN_003_poll011_R1_1st
        94.2%
        43%
        7.5
        LGL_SINN_003_poll011_R2_1st
        21.1%
        43%
        7.5
        LGL_SINN_004_poll029_R1_1st
        94.1%
        43%
        7.2
        LGL_SINN_004_poll029_R2_1st
        20.8%
        43%
        7.2
        LGL_SINN_005_poll029_R1_1st
        58.3%
        44%
        6.3
        LGL_SINN_005_poll029_R2_1st
        53.2%
        45%
        6.3
        LGL_SINN_006_poll030_R1_1st
        54.1%
        45%
        7.6
        LGL_SINN_006_poll030_R2_1st
        48.5%
        45%
        7.6
        LGL_SINN_007_poll029_R1_1st
        51.6%
        44%
        7.3
        LGL_SINN_007_poll029_R2_1st
        45.6%
        45%
        7.3
        LGL_SINN_007_poll104_R1_1st
        76.8%
        45%
        2.8
        LGL_SINN_007_poll104_R2_1st
        35.1%
        45%
        2.8
        LGL_SINN_008_poll104_R1_merged
        82.7%
        44%
        6.3
        LGL_SINN_008_poll104_R2_merged
        64.5%
        44%
        6.3
        LGL_SINN_017_poll091_R1_1st
        57.2%
        45%
        6.6
        LGL_SINN_017_poll091_R2_1st
        52.3%
        45%
        6.6
        LGL_SINN_018_poll091_R1_1st
        58.7%
        45%
        2.8
        LGL_SINN_018_poll091_R2_1st
        56.9%
        45%
        2.8
        LGL_TURA_002_poll073_R1_1st
        63.4%
        45%
        4.7
        LGL_TURA_002_poll073_R2_1st
        24.8%
        45%
        4.7
        LGL_TURA_004_poll010_R1_merged
        73.1%
        45%
        4.8
        LGL_TURA_004_poll010_R2_merged
        70.8%
        45%
        4.8
        LGL_TURA_006_poll072_R1_1st
        39.7%
        46%
        5.2
        LGL_TURA_006_poll072_R2_1st
        38.3%
        46%
        5.2
        LGL_TURA_007_poll072_R1_merged
        72.6%
        45%
        5.1
        LGL_TURA_007_poll072_R2_merged
        67.6%
        45%
        5.1
        LGL_TURA_007_poll074_R1_1st
        77.4%
        44%
        5.7
        LGL_TURA_007_poll074_R2_1st
        32.0%
        45%
        5.7
        LGL_TURA_014_poll075_R1_1st
        80.1%
        45%
        2.8
        LGL_TURA_014_poll075_R2_1st
        34.7%
        45%
        2.8

        FastQC

        Version: 0.12.1

        FastQC is a quality control tool for high throughput sequence data, written by Simon Andrews at the Babraham Institute in Cambridge.

        Sequence Counts

        Sequence counts for each sample. Duplicate read counts are an estimate only.

        This plot show the total number of reads, broken down into unique and duplicate if possible (only more recent versions of FastQC give duplicate info).

        You can read more about duplicate calculation in the FastQC documentation. A small part has been copied here for convenience:

        Only sequences which first appear in the first 100,000 sequences in each file are analysed. This should be enough to get a good impression for the duplication levels in the whole file. Each sequence is tracked to the end of the file to give a representative count of the overall duplication level.

        The duplication detection requires an exact sequence match over the whole length of the sequence. Any reads over 75bp in length are truncated to 50bp for this analysis.

        loading..

        Sequence Quality Histograms

        The mean quality value across each base position in the read.

        To enable multiple samples to be plotted on the same graph, only the mean quality scores are plotted (unlike the box plots seen in FastQC reports).

        Taken from the FastQC help:

        The y-axis on the graph shows the quality scores. The higher the score, the better the base call. The background of the graph divides the y axis into very good quality calls (green), calls of reasonable quality (orange), and calls of poor quality (red). The quality of calls on most platforms will degrade as the run progresses, so it is common to see base calls falling into the orange area towards the end of a read.

        loading..

        Per Sequence Quality Scores

        The number of reads with average quality scores. Shows if a subset of reads has poor quality.

        From the FastQC help:

        The per sequence quality score report allows you to see if a subset of your sequences have universally low quality values. It is often the case that a subset of sequences will have universally poor quality, however these should represent only a small percentage of the total sequences.

        loading..

        Per Base Sequence Content

        The proportion of each base position for which each of the four normal DNA bases has been called.

        To enable multiple samples to be shown in a single plot, the base composition data is shown as a heatmap. The colours represent the balance between the four bases: an even distribution should give an even muddy brown colour. Hover over the plot to see the percentage of the four bases under the cursor.

        To see the data as a line plot, as in the original FastQC graph, click on a sample track.

        From the FastQC help:

        Per Base Sequence Content plots out the proportion of each base position in a file for which each of the four normal DNA bases has been called.

        In a random library you would expect that there would be little to no difference between the different bases of a sequence run, so the lines in this plot should run parallel with each other. The relative amount of each base should reflect the overall amount of these bases in your genome, but in any case they should not be hugely imbalanced from each other.

        It's worth noting that some types of library will always produce biased sequence composition, normally at the start of the read. Libraries produced by priming using random hexamers (including nearly all RNA-Seq libraries) and those which were fragmented using transposases inherit an intrinsic bias in the positions at which reads start. This bias does not concern an absolute sequence, but instead provides enrichement of a number of different K-mers at the 5' end of the reads. Whilst this is a true technical bias, it isn't something which can be corrected by trimming and in most cases doesn't seem to adversely affect the downstream analysis.

        Click a sample row to see a line plot for that dataset.
        Rollover for sample name
        Position: -
        %T: -
        %C: -
        %A: -
        %G: -

        Per Sequence GC Content

        The average GC content of reads. Normal random library typically have a roughly normal distribution of GC content.

        From the FastQC help:

        This module measures the GC content across the whole length of each sequence in a file and compares it to a modelled normal distribution of GC content.

        In a normal random library you would expect to see a roughly normal distribution of GC content where the central peak corresponds to the overall GC content of the underlying genome. Since we don't know the the GC content of the genome the modal GC content is calculated from the observed data and used to build a reference distribution.

        An unusually shaped distribution could indicate a contaminated library or some other kinds of biased subset. A normal distribution which is shifted indicates some systematic bias which is independent of base position. If there is a systematic bias which creates a shifted normal distribution then this won't be flagged as an error by the module since it doesn't know what your genome's GC content should be.

        loading..

        Per Base N Content

        The percentage of base calls at each position for which an N was called.

        From the FastQC help:

        If a sequencer is unable to make a base call with sufficient confidence then it will normally substitute an N rather than a conventional base call. This graph shows the percentage of base calls at each position for which an N was called.

        It's not unusual to see a very low proportion of Ns appearing in a sequence, especially nearer the end of a sequence. However, if this proportion rises above a few percent it suggests that the analysis pipeline was unable to interpret the data well enough to make valid base calls.

        loading..

        Sequence Length Distribution

        The distribution of fragment sizes (read lengths) found. See the FastQC help

        loading..

        Sequence Duplication Levels

        The relative level of duplication found for every sequence.

        From the FastQC Help:

        In a diverse library most sequences will occur only once in the final set. A low level of duplication may indicate a very high level of coverage of the target sequence, but a high level of duplication is more likely to indicate some kind of enrichment bias (eg PCR over amplification). This graph shows the degree of duplication for every sequence in a library: the relative number of sequences with different degrees of duplication.

        Only sequences which first appear in the first 100,000 sequences in each file are analysed. This should be enough to get a good impression for the duplication levels in the whole file. Each sequence is tracked to the end of the file to give a representative count of the overall duplication level.

        The duplication detection requires an exact sequence match over the whole length of the sequence. Any reads over 75bp in length are truncated to 50bp for this analysis.

        In a properly diverse library most sequences should fall into the far left of the plot in both the red and blue lines. A general level of enrichment, indicating broad oversequencing in the library will tend to flatten the lines, lowering the low end and generally raising other categories. More specific enrichments of subsets, or the presence of low complexity contaminants will tend to produce spikes towards the right of the plot.

        loading..

        Overrepresented sequences by sample

        The total amount of overrepresented sequences found in each library.

        FastQC calculates and lists overrepresented sequences in FastQ files. It would not be possible to show this for all samples in a MultiQC report, so instead this plot shows the number of sequences categorized as overrepresented.

        Sometimes, a single sequence may account for a large number of reads in a dataset. To show this, the bars are split into two: the first shows the overrepresented reads that come from the single most common sequence. The second shows the total count from all remaining overrepresented sequences.

        From the FastQC Help:

        A normal high-throughput library will contain a diverse set of sequences, with no individual sequence making up a tiny fraction of the whole. Finding that a single sequence is very overrepresented in the set either means that it is highly biologically significant, or indicates that the library is contaminated, or not as diverse as you expected.

        FastQC lists all the sequences which make up more than 0.1% of the total. To conserve memory only sequences which appear in the first 100,000 sequences are tracked to the end of the file. It is therefore possible that a sequence which is overrepresented but doesn't appear at the start of the file for some reason could be missed by this module.

        loading..

        Top overrepresented sequences

        Top overrepresented sequences across all samples. The table shows 20 most overrepresented sequences across all samples, ranked by the number of samples they occur in.

        Showing 20/20 rows and 3/3 columns.
        Overrepresented sequenceSamplesOccurrences% of all reads
        GGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGGG
        213
        11035423
        0.5644%
        TGCAGGACACATGAACATCGACATTTCGAACGCACATTGCGGTCCACGGA
        210
        4190686
        0.2143%
        TGCAGTTCACACGTTGACGCGCAATTAGCTGCGTTCTTCATCGACCCACG
        210
        4229822
        0.2163%
        TGCAGCTGATGTTGCGCCGCCTTATTATCGTTGACCGCCTTGGCGATCCC
        77
        739820
        0.0378%
        TGCAGAAACGCGACTGGCTCATGGATTTCCTCGACGAAAATACGATAGCG
        76
        503583
        0.0258%
        TGCAGACGTCTGTAGACGTCCCAGGGACTTTGCCGGACGTTGTGCTGTGT
        76
        451822
        0.0231%
        TGCAGCAGTGCACGCGTCACGGTCTTCGTATTACAAAGATACACCGCGTG
        75
        743625
        0.0380%
        TGCAGATCGGATGTGCGGAAGAGTTCGCAGTTTCGGGTGTTGATGCTTTT
        69
        412166
        0.0211%
        TGCAGGCCCTCTCTAAGGCCCACGTTTTAGGCCCTCTCTAGGGCCTATGG
        68
        373622
        0.0191%
        TGCAGCATAGGCCCTAAAGAGGGCCTACTTGCATGCGATTGTAGACACGA
        64
        379741
        0.0194%
        TGCAGTAATTACAAGACCTAGTGTATCTACAATAATATGGCGTTTTCTAC
        61
        871008
        0.0445%
        TGCAGAAATCAAAGAACTGCTCAAACAATCCATAAAGAACACCGAAATGC
        60
        1146377
        0.0586%
        TGCAGAGGTACACAGCGCAAGCATTCAGGATCGTGATGGTGCTACCAATC
        60
        729021
        0.0373%
        TGCAGAGATCATAGAAGCAATCAGTCGCCTAAACCCCAAGAAAGCAGCAG
        59
        1252806
        0.0641%
        TGCAGCTTAGGTAGGATTTTATTAAGTGGTGTATTTGCTCCGGGAATTGT
        58
        550192
        0.0281%
        TGCAGCCTTCTTGGTGTTCATTCTTCCGGCGGCATCGACGACATCGCCTT
        57
        600076
        0.0307%
        TGCAGGAGTCGATGGCGTGCCGGGCGAGATCGCGAAGCTGGTAGCGAGTC
        57
        397938
        0.0204%
        TGCAGTGTCGTTGTTACTATTGCTGTGGTATTGGTTATGTGTGTGTGTTG
        56
        798831
        0.0409%
        TGCAGCTATGGAGGAATGGGGTTGGAATACTTCAGTCAAGTGTTTGGCAA
        56
        747996
        0.0383%
        TGCAGAACCTTCGTAATAAAAATCAAGGACACACATTCTCAAGTTAAAGA
        56
        673424
        0.0344%

        Adapter Content

        The cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position.

        Note that only samples with ≥ 0.1% adapter contamination are shown.

        There may be several lines per sample, as one is shown for each adapter detected in the file.

        From the FastQC Help:

        The plot shows a cumulative percentage count of the proportion of your library which has seen each of the adapter sequences at each position. Once a sequence has been seen in a read it is counted as being present right through to the end of the read so the percentages you see will only increase as the read length goes on.

        loading..

        Status Checks

        Status for each FastQC section showing whether results seem entirely normal (green), slightly abnormal (orange) or very unusual (red).

        FastQC assigns a status for each section of the report. These give a quick evaluation of whether the results of the analysis seem entirely normal (green), slightly abnormal (orange) or very unusual (red).

        It is important to stress that although the analysis results appear to give a pass/fail result, these evaluations must be taken in the context of what you expect from your library. A 'normal' sample as far as FastQC is concerned is random and diverse. Some experiments may be expected to produce libraries which are biased in particular ways. You should treat the summary evaluations therefore as pointers to where you should concentrate your attention and understand why your library may not look random and diverse.

        Specific guidance on how to interpret the output of each module can be found in the relevant report section, or in the FastQC help.

        In this heatmap, we summarise all of these into a single heatmap for a quick overview. Note that not all FastQC sections have plots in MultiQC reports, but all status checks are shown in this heatmap.

        loading..

        Software Versions

        Software Versions lists versions of software tools extracted from file contents.

        SoftwareVersion
        FastQC0.12.1

        MultiQC v1.18 - Written by Phil Ewels, available on GitHub.

        This report uses HighCharts, jQuery, jQuery UI, Bootstrap, FileSaver.js and clipboard.js.